ppexzzn

AI Creator | AI × Business | Building with AI
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[ppexzzn @Pexzzn]

https://t.co/FJdhzUV7AT

[ppexzzn @Pexzzn]

One secret deal from 1974 explains why the US has been willing to go to war in the Middle East, even though it produces more oil than Saudi Arabia itself.

In 1971, the US dollar lost its peg to gold. By the laws of economics, it should have collapsed.
It didn't. Here's why.
In 1974, the US struck a secret deal with Saudi Arabia. The Saudis agreed to sell oil exclusively for dollars. In return, they got American military protection and weapons.
It's called the petrodollar. And it's arguably the most important deal of the 20th century that nobody ever teaches you in school.

The consequence is simple: if any country in the world wants to buy oil, it first needs dollars. That creates permanent artificial demand for the US currency — no matter how much debt America prints.
The dollar today accounts for over 90% of all trade in Latin America, nearly 75% in the Asia-Pacific region. Not because the dollar is the best currency. Because oil is priced in it.
That's why Washington has been willing to go to war in the Middle East for decades, even while pumping its own oil. It was never about barrels. It's about what happens to the dollar if that system collapses.

That's why any threat to the Strait of Hormuz, any war in Iran, any move by Saudi Arabia or BRICS to trade oil in yuan isn't just Middle East news. It's a threat to the foundation American financial power stands on.
Understand the petrodollar, and you understand why global politics looks the way it does. Miss it, and you only see disconnected headlines — never the system behind them.

[ppexzzn @Pexzzn]

https://t.co/vPkkzj2s5q

[ppexzzn @Pexzzn]

@xBuntaro Perfect!!

[ppexzzn @Pexzzn]

@finillin_dev 🤝

[ppexzzn @Pexzzn]

Dalio builds his entire video around one line from a bar: "Put it on my tab." Turns out that's exactly how the debt cycle is born — the same one that wrecks economies every 75-100 years.

He ran the world's largest hedge fund for over 40 years. At its peak, Bridgewater Associates managed more than $150 billion in capital.

In 2013, he put a 30-minute cartoon on YouTube — "How the Economic Machine Works." Free.
Dalio doesn't start with charts. He starts with a bartender. You want a drink, but you're out of cash. The bartender trusts you and puts it on your tab. In that second, the two of you just created credit out of thin air — an asset for him, a liability for you.
Multiply that one scene by millions of people and decades, and you get the entire economy. One person's spending is always another person's income. And credit is just a way of spending today what you'll only earn tomorrow.

From there come the three forces Dalio says explain almost everything: productivity growth, the short-term debt cycle running 5-8 years, and the long-term debt cycle running 75-100 years — the kind that hits once in a lifetime, which is exactly why it catches most people off guard.
By the end, Dalio boils it down to three rules: don't let debt grow faster than income, don't let income grow faster than productivity, and do everything you can to raise productivity — because in the long run, that's the only thing that really matters.

15+ million views. Still free. Still on YouTube.

[ppexzzn @Pexzzn]

https://t.co/vPkkzj2s5q

[ppexzzn @Pexzzn]

@0xlizzzard Wow, like!

[lizard @0xlizzzard]

EVERY MEAN-REVERSION TRADE ON WALL STREET RUNS ON A FORMULA FROM 1930 WITH HER EXACT LAST NAME ON IT. SHE NEVER WROTE A LINE OF IT.

nobody on a trading desk has ever asked why. The coincidence sits right there in the name and nobody has chased it down.

-> her name is Karen Uhlenbeck. In 2019 she became the first woman in history to win the Abel Prize, math's equivalent of the Nobel. The prize is for work connecting geometry and physics so dense it took the field forty years to fully absorb it.

-> the formula traders use is the Ornstein-Uhlenbeck process, written in 1930. it says a number that drifts away from its average always gets pulled back, like a drunk man walking home who keeps stumbling but keeps correcting toward the same door. every pairs trade, every stat-arb book on Wall Street runs on that one idea.

-> the Uhlenbeck who wrote it in 1930 was a physicist, George Uhlenbeck. Karen Uhlenbeck was married to his son for eleven years. she carried the name into a field that had nothing to do with his equation and built her own legacy inside it: minimal surfaces, soap-bubble geometry, singularities that "bubble" into existence exactly where the smooth math breaks down.

she discovered where equations fail. He wrote the equation Wall Street trusts never to fail.

an academic who studies geometric analysis told me most quants who cite the Ornstein-Uhlenbeck process couldn't tell you who Karen Uhlenbeck is. Thousands of trading desks run her married name every single day.

the formula is free, it's been public for ninety-five years. The name behind the real math is not the one anyone on a terminal has ever looked up.

[ppexzzn @Pexzzn]

@DaniilBuilds 🤝🏼

[ppexzzn @Pexzzn]

Ray Dalio made billions doing what 99% of investors think is impossible — predicting when the market will crash before it happens.

He ran the world's largest hedge fund for over 40 years. At its peak, Bridgewater Associates managed more than $150 billion in capital.
In one video sitting on YouTube with millions of views, he lays out in 42 minutes what institutional clients paid billions in fees to access for years.

His name is Ray Dalio. He started trading stocks at age 12. Before becoming a billionaire, he lived through his fund going bust in 1982 — he bet everything on one macroeconomic call, and he was wrong.
That mistake became the foundation for everything he built afterward.
In the video "Ray Dalio Explaining Principles of Investing," he's not telling you which stock to buy. He's explaining one idea that underlies his entire system: markets are driven by cycles that repeat again and again, because human nature doesn't change.
Diversification. Correlation between assets. Understanding where you stand in the economic cycle — before making any decision.

Nobody's paying him to put this out. He just laid out what most asset managers keep locked behind paywalls and NDAs.
The difference between someone who understands cycles and someone who's shocked every time the market crashes isn't access to information. It's whether they ever opened this video.

[Zynex @0xzynex]

https://t.co/s7CSVJZhBN

[ppexzzn @Pexzzn]

Ray Dalio claims even a child can understand the entire economy — so he made a video for kids that billionaires ended up watching too.

He ran the world's largest hedge fund for over 40 years. At its peak, Bridgewater Associates managed more than $150 billion in capital.
In 2013, he put a 30-minute cartoon on YouTube — "How the Economic Machine Works." No charts that need a degree to read. No jargon.
Dalio says once you understand this template, you can apply it to any country at any point in history — and understand why the economy does what it does.

The whole system boils down to one fact: one person's spending is always another person's income. And credit is just a way of borrowing from your future self to spend more today.
Multiply that by millions of people, and you get cycles. Short ones, running 5-8 years. And one long one, running 75-100 years, that hits once in a lifetime — which is exactly why almost nobody recognizes it when it arrives.
By the end, Dalio boils it down to three rules he pulled from 30 years in the markets: don't let debt grow faster than income. Don't let income grow faster than productivity. And do everything you can to raise productivity — because in the long run, that's the only thing that matters.

15+ million views. Still free. Still on YouTube.

[Zynex @0xzynex]

https://t.co/s7CSVJZhBN

[ppexzzn @Pexzzn]

@mrcsxbt Strong material — concrete numbers, sharp quotes, clear contrast against the 2008 panic.

[Marcus @mrcsxbt]

In September 2008, Howard Marks and Oaktree deployed $10 billion in 15 weeks while Lehman went bankrupt and investors ran for the exits. Marks did not predict the crisis or know where the bottom would be. How did Oaktree end up with $10 billion in dry powder just as the rest of the market was fleeing?

In 2005 and 2006, Marks kept bringing Bruce Karsh articles about weak companies borrowing money on absurd terms. The market was supposed to reject bad deals, but it approved almost everything. Marks called this "taking the temperature of the market." Oaktree raised an $11 billion reserve fund and had about $10 billion available by June 2008.

Lehman Brothers filed for bankruptcy on September 15. Marks reduced the decision to two scenarios. If the financial system collapsed, it would not matter whether Oaktree had bought. If the system survived and the firm refused to buy, they had failed to do their job. So Oaktree began putting roughly $650 million to work each week.

This is Stoic investing without the philosophical vocabulary. Marks could not control the economy, the timing of the bottom, or the crowd. He could control the price, the capital held in reserve, and his own conduct under fear. "A battlefield hero is not somebody who's unafraid. It's somebody who's afraid, but he does it anyway."

His rules are simple. Buying assets well matters more than simply buying good assets. Oaktree does not chase the top 5% in a single year or accept outcomes that could knock it out of the game. One pension manager ranked between the 27th and 47th percentile for 14 consecutive years, yet finished in the fourth percentile over the full period.

Risk cannot be judged by the outcome alone. An asset bought for one dollar and sold for two could reflect a sound decision or reckless luck. Marks builds a thesis strong enough to hold through a decline while leaving room to be wrong. Liquidity keeps an early decision from becoming a forced exit.

Marks does not wait for uncertainty to disappear. He acts in a way that lets him survive being wrong. Watch the full 40-minute conversation in the video.

[Neirox @0xNeirox]

$84,000 A MONTH. ONE WINDOW. ONE TOWEL. ONE GIRL WHO IS NOT SELLING ANYTHING.

Dark hair. Bare shoulders. Pink strap barely visible. She is sitting by a window in a room that looks expensive. Phone in one hand, towel in the other. Red nails. Warm light on her skin. She is looking out the window at nothing. She does not look at the camera. She does not speak. She does not smile.

For nine seconds, nothing happens.

The camera sits behind her shoulder. You see her profile. Her back. The window ledge. The city outside the glass. She is texting someone and it is not you. The towel says "something just happened." The bare shoulders say "intimate." The phone says "she has somewhere else to be." Every prop in this frame is doing emotional work and none of them are selling anything directly.

No caption. No CTA. No text on screen. No link callout. The video IS the ad. People who feel the vibe go to her profile. People who go to her profile find the link. She never asked. Curiosity did the selling.

Then the last second. She turns. Looks over her shoulder directly into the lens. Brown eyes. Pink lips. One smile.

That is the moment a viewer becomes a subscriber. She did not invite you in. She caught you watching.

This is why traditional thirst traps are dying. They show everything and sell nothing. This format shows nothing and sells everything. A thirst trap says "look at me." This says "you just walked into a room you were not invited to."

The whole operation costs nothing. A window. Morning light. A towel. A phone. She films one every morning and each one looks different because the light changes. Same room, same girl, same towel. Content machine that runs on sunrise.

Everyone who copies Alina gets the skin right and the mood wrong. The product is not her body. The product is the silence between the frames. And that one look at the end is what turns a viewer into a subscriber.

[ppexzzn @Pexzzn]

@0xNeirox woww

[ppexzzn @Pexzzn]

@onryxxx Good text — the bartender scene is a strong hook.

[Onryx @onryxxx]

Yale, spring 2007. A professor tells a full lecture hall that the most disturbing experiment in the history of psychology was run on this campus. Forty ordinary men, a machine going up to 450 volts, and a stranger screaming in the next room.

August 1961, a basement laboratory a few minutes from where those students are sitting. The men were recruited through a newspaper advert, aged twenty to fifty, ordinary working people from New Haven.

Each one is told he is the teacher in a study about memory. The learner sits strapped to a chair in the next room. Every wrong answer means a shock, and every shock is fifteen volts higher than the last. Thirty switches, from 15 volts to 450.

Before any of it began, Milgram asked a group of psychiatrists to predict the result. They estimated that about one person in a thousand would go to the end.

The learner is an actor. Nobody is shocked. But the man pressing the switches does not know that.

The actor complains. Then he mentions a heart condition. Then he screams. Then he goes silent and stops answering altogether.

Whenever a participant hesitated, the experimenter never threatened him. He simply said, in the same calm voice, that the experiment required him to continue.

Every one of the forty went past 300 volts, the point where the man in the next room had already stopped responding. Twenty six of them went all the way to 450 and pressed it three times, on a switch with nothing labelled above it.

Sixty five percent, against a prediction of one in a thousand.

Then comes the part that makes it a lecture instead of a fact.

Milgram ran eighteen variations, changing one thing at a time. Put the learner in the same room and obedience falls to around forty percent. Make the teacher physically press the man's hand onto the shock plate and it drops to about thirty. Have the experimenter give his orders by telephone from another building, and obedience collapses, with several participants quietly delivering lower shocks and lying about it.

The moral question never changed. Only the geometry of the room.

And the number that should keep you up is not the sixty five percent. It is that the professionals were wrong by a factor of six hundred.

Worth knowing too: the archive is messier than the textbook. The experimenter improvised well past his four scripted prompts, and an unknown share of participants suspected the shocks were fake. The tidy version everyone repeats is tidier than what actually happened.

All twenty lectures of that course are free. Open Yale published the video, the audio, full transcripts and the reading list, and left them there. No login, no cohort, no waitlist.

What it costs you is the number you would have shouted out if you had been sitting in that hall.

[NEXORA @NEXORAResearch]

🤖 THIS ROBOT CAN DANCE BETTER THAN MOST HUMANS.

Not a lab demo.
Not a reel.
World Humanoid Robot Games. Beijing. Live floor.

It drops to the ground.
Spins on its head.
Stands back up like nothing happened.

Hundreds of robots were on that stage.
This one moved like it practiced being human.

Rate the moves. 1 to 10? 👀💃

@NEXORAResearch

[ppexzzn @Pexzzn]

@NEXORAResearch Wow!!

[Chaba @Chaba136]

This look will make you forget that you are looking at a piece of iron and silicone.

The engineer is testing the android's facial expressions in centimeters from the face. The mechanical details of the case are creepy, but her unblinking eye contact looks frighteningly alive.

Why does this change everything:

The effect of a "live" presence: It doesn't just read the face, but tracks the slightest micromicromic movements of the interlocutor's eyes.

Breaking the barrier: As soon as the robot learns to hold its gaze as naturally as a human, the line between AI and a live interlocutor will be completely erased.

Psychological hack: We are used to reading emotions in our eyes. It is non-verbal communication that sells the feeling of "consciousness" inside the machine.

The real android revolution is not about soft steps, but the ability to make a person believe that a machine really understands who it's looking at.

[ppexzzn @Pexzzn]

@Chaba136 wow, perfect!!

[ppexzzn @Pexzzn]

@m444k_ wow, perfect!!)